activity
20202026
most citedAlgorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization

60 citations · 63 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Artifact Removal and Image Restoration in AFM:A Structured Mask-Guided Directional Inpainting Approach

Juntao Zhang, Angona Biswas, Jaydeep Rade +5

Atomic Force Microscopy (AFM) enables high-resolution surface imaging at the nanoscale, yet the output is often degraded by artifacts introduced by environmental noise, scanning im…

cs.CV2025

In-Context Adaptation of VLMs for Few-Shot Cell Detection in Optical Microscopy

Shreyan Ganguly, Angona Biswas, Jaydeep Rade +9

Foundation vision-language models (VLMs) excel on natural images, but their utility for biomedical microscopy remains underexplored. In this paper, we investigate how in-context le…

cs.CV2025

ProFusion: 3D Reconstruction of Protein Complex Structures from Multi-view AFM Images

Jaydeep Rade, Md Hasibul Hasan Hasib, Meric Ozturk +8

AI-based in silico methods have improved protein structure prediction but often struggle with large protein complexes (PCs) involving multiple interacting proteins due to missing 3…

cs.CV2024

3D Reconstruction of Protein Structures from Multi-view AFM Images using Neural Radiance Fields (NeRFs)

Jaydeep Rade, Ethan Herron, Soumik Sarkar +2

Recent advancements in deep learning for predicting 3D protein structures have shown promise, particularly when leveraging inputs like protein sequences and Cryo-Electron microscop…

cs.LG2023★ 2 cited

Latent Diffusion Models for Structural Component Design

Ethan Herron, Jaydeep Rade, Anushrut Jignasu +4

Recent advances in generative modeling, namely Diffusion models, have revolutionized generative modeling, enabling high-quality image generation tailored to user needs. This paper…

cs.CV2022★ 1 cited

3D Reconstruction of Protein Complex Structures Using Synthesized Multi-View AFM Images

Jaydeep Rade, Soumik Sarkar, Anwesha Sarkar +1

Recent developments in deep learning-based methods demonstrated its potential to predict the 3D protein structures using inputs such as protein sequences, Cryo-Electron microscopy…

cs.LG2020★ 60 cited

Algorithmically-Consistent Deep Learning Frameworks for Structural Topology Optimization

Jaydeep Rade, Aditya Balu, Ethan Herron +4

Topology optimization has emerged as a popular approach to refine a component's design and increase its performance. However, current state-of-the-art topology optimization framewo…